Webshop Performance Analyst

Summary Positioning

better, faster, and deeper data driven decisions

Role Overview

Webshop Data Analyst

primary focus on onsite and commercial

Key Responsibilities

1. Webshop Performance Analysis

• Analyze end-to-end webshop performance, from traffic and behavior to conversion

and revenue

• Translate business and product questions into structured data analysis

• Proactively identify opportunities and issues impacting webshop outcomes

• Support decision-making with clear insights, recommendations, and impact sizing

Core Webshop KPIs include (but are not limited to):

• Conversion Rate (overall & funnel-level)

• Revenue, Orders, AOV

• Revenue per Visitor

• Funnel drop-off (PDP → Cart → Checkout → Order)

• Product performance (views, add-to-cart, sales, margin)

• Assortment performance and availability impact

• Pricing & promotion effectiveness

• Customer behavior and journey analysis

• Impact of stock, delivery options, and webshop changes on sales

2. Dashboarding & Reporting

• Build and maintain standardized webshop performance dashboards for:

o Webshop Product & Tech teams

o Commercial and leadership stakeholders

• Automate recurring reporting to reduce manual effort and increase consistency

decision-making

• Maintain a clear structure of webshop KPIs and definitions

3. Experimentation & Impact Measurement

• Measure impact of:

o Webshop feature changes

o UX / CRO experiments

o Product, pricing, and promotion changes

• Support A/B testing and experimentation analysis

• Help quantify the impact of webshop and tech changes on conversion and revenue

• Partner with Product and Performance teams on experiment design and evaluation

4. Collaboration with Performance & Marketing Analytics

• Work closely with Performance and Marketing Analytics teams to:

o Connect onsite behavior with marketing traffic

o Align insights across webshop and campaign performance

• Support (but not necessarily own) advanced analytics initiatives such as:

o Customer Lifetime Value (CLV)

o Forecasting or attribution

• Act as a bridge between webshop insights and broader commercial performance

5. Data Quality & Governance

• Monitor webshop data quality across event tracking, transactional data, and

dashboards

• Proactively flag anomalies or data gaps impacting decision-making

• Collaborate with Data Engineering, BI, or Tech teams to resolve issues

• Maintain documentation on webshop metrics, definitions, and data sources

Key Stakeholders

• Webshop Product Managers

• Webshop Tech / Engineering teams

• Performance & Marketing Analytics

• Commercial and business stakeholders